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	Image tag completion and refinement by subspace clustering and matrix completion
	Hou, Yuqing ; Lin, Zhouchen
	2015
英文摘要	Tag-based image retrieval (TBIR) has drawn much attention in recent years due to the explosive amount of digital images and crowdsourcing tags. However, the TBIR applications still suffer from the deficient and inaccurate tags provided by users. Inspired by the subspace clustering methods, we formulate the tag completion problem in a subspace clustering model which assumes that images are sampled from subspaces, and complete the tags using the state-of-the-art Low Rank Representation (LRR) method. And we propose a matrix completion algorithm to further refine the tags. Our empirical results on multiple benchmark datasets for image annotation show that the proposed algorithm outperforms state-of-the-art approaches when handling missing and noisy tags. ? 2015 IEEE.; EI
语种	英语
出处	Visual Communications and Image Processing, VCIP 2015
DOI标识	10.1109/VCIP.2015.7457875
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449488]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Hou, Yuqing,Lin, Zhouchen. Image tag completion and refinement by subspace clustering and matrix completion. 2015-01-01.

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